Classifier Subset Selection for the Stacked Generalization Method Applied to Emotion Recognition in Speech

In this paper, a new supervised classification paradigm, called classifier subset selection for stacked generalization (CSS stacking), is presented to deal with speech emotion recognition. The new approach consists of an improvement of a bi-level multi-classifier system known as stacking generalizat...

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Detalles Bibliográficos
Autores principales: Álvarez, Aitor, Sierra, Basilio, Arruti, Andoni, López-Gil, Juan-Miguel, Garay-Vitoria, Nestor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732054/
https://www.ncbi.nlm.nih.gov/pubmed/26712757
http://dx.doi.org/10.3390/s16010021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732054/
https://www.ncbi.nlm.nih.gov/pubmed/26712757
http://dx.doi.org/10.3390/s16010021

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